Mo Dai
Impact in
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- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Face and Expression Recognition
- Image and Object Detection Techniques
- Video Surveillance and Tracking Methods
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
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- Image Retrieval and Classification Techniques 12
- Advanced Image and Video Retrieval Techniques 9
- Medical Image Segmentation Techniques 8
- Advanced Vision and Imaging 6
- Image and Object Detection Techniques 4
- Digital Image Processing Techniques 3
- Image Processing and 3D Reconstruction 3
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- Biometric Identification and Security 5
- Co-authors
- Bo Yang (5 shared papers)Lin Wang (1 shared paper)Pierre Baylou (2 shared papers)Mohamed Najim (2 shared papers)Lin Wang (3 shared papers)Guohua Geng (1 shared paper)Jan Flusser (1 shared paper)Gang Zhou (1 shared paper)
In The Last Decade
Mo Dai
19 papers receiving 353 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 315
- Signal Processing 81
- Media Technology 46
- Acoustics and Ultrasonics 3
- Safety Research 25
Countries citing papers authored by Mo Dai
This map shows the geographic impact of Mo Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mo Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mo Dai more than expected).
Fields of papers citing papers by Mo Dai
This network shows the impact of papers produced by Mo Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mo Dai. The network helps show where Mo Dai may publish in the future.
Co-authors
The 16 scholars most cited alongside Mo Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 83 | |
| 2 | 2007 | 52 | |
| 3 | 2011 | 48 | |
| 4 | 1992 | 39 | |
| 5 | 2005 | 31 | |
| 6 | 2011 | 24 | |
| 7 | 2004 | 20 | |
| 8 | 1996 | 17 | |
| 9 | 2005 | 14 | |
| 10 | 2007 | 11 | |
| 11 | 2014 | 8 | |
| 12 | 2005 | 5 | |
| 13 | 2005 | 5 | |
| 14 | 2006 | 4 | |
| 15 | An Improved Method for Tangent Estimation of Digital Curves | 2006 | 2 |
| 16 | 2006 | 2 | |
| 17 | 2008 | 2 | |
| 18 | 2013 | 2 | |
| 19 | 2008 | 2 | |
| 20 | 2006 | 0 |
About Mo Dai
Mo Dai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Artificial Intelligence and Aerospace Engineering, having authored 24 papers that have together received 371 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (12 papers), Advanced Image and Video Retrieval Techniques (9 papers), Medical Image Segmentation Techniques (8 papers), Advanced Vision and Imaging (6 papers), Biometric Identification and Security (5 papers), Image and Object Detection Techniques (4 papers), Digital Image Processing Techniques (3 papers) and Image Processing and 3D Reconstruction (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (315 citations), Signal Processing (81 citations), Media Technology (46 citations), Acoustics and Ultrasonics (3 citations) and Safety Research (25 citations). Mo Dai has collaborated with scholars based in France, China and Czechia. Frequent co-authors include Bo Yang, Lin Wang, Pierre Baylou, Mohamed Najim, Lin Wang, Guohua Geng, Lin Wang, Jan Flusser, Lin Wang and Gang Zhou. Their work appears in journals such as Pattern Recognition Letters, Pattern Recognition, Signal Processing, Lecture notes in computer science and International Journal of Humanoid Robotics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.